NNs are 4 layers deep with 65 neurons per layer and sinus activation functions with a specific initialisation strategy, see [1]}. The initialisation seed is fixed once for all, without cherry picking. The NNs are trained by an Adam optimiser with a learning rate of \(5 \cdot 10^{-5}\)  and \(\beta = (0.99,0.99)\) .
